Optimized Content Delivery in Vehicular Networks: A Novel SH-Based Caching Strategy and Replacement Algorithm

Document Type

Article

Publication Title

International Journal of Computing and Digital Systems

Abstract

Context: Vehicles are essential components of vehicular networks: they function as mobile nodes that exchange and disseminate vital information including emergency warnings, safety alerts, and updates on passenger enjoyment. As a result, the network experiences high data flow and a notable rise in data traffic. ICN architectures have been established in contrast to standard host-centric IP networks, which find it difficult to suit the dynamic needs of vehicular networks. ICN caching makes it possible to store content on the network, decreases content latency, and improves content accessibility. Objective: This work aims to optimize content delivery in vehicular networks using ICN networks with efficient caching decisions. Method: An efficient SH-based (Stretch and Hop) caching strategy is proposed to select the cache node with more interfaces in a delivery path. The interest and data packets are modified to identify the bridge node by adding H and stretch fields in the packets. Further, a novel cache replacement policy called PRPI (Popularity-Recency-Probability-Interfaces) eviction policy is proposed to remove outdated data from the cache node when storage is full. The content with the least eviction value is selected to remove from the cache. Result: The proposed work is evaluated by simulation, and the results show better efficiency in terms of cache hit ratio, content retrieval delay, and stretch ratio. Conclusion: The proposed work uses a high interface node to cache the content and removes the outdated content by considering multiple factors. This method leads to the storage of fresh content in a more connected node, which can satisfy more requests.

DOI

10.12785/ijcds/1571111336

Publication Date

1-1-2025

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